Ontology for autonomous robotics

Joanna Isabelle Olszewska, Marcos Barreto, Julia Bermejo-Alonso, Joel Carbonera, Abdelghani Chibani, Sandro Fiorini, Paulo Goncalves, Maki Habib, Alaa Khamis, Alberto Olivares, Edison Pignaton de Freitas, Edson Prestes, S. Veera Ragavan, Signe Redfield, Ricardo Sanz, Bruce Spencer, Howard Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

38 Citations (Scopus)
247 Downloads (Pure)

Abstract

Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology's strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.
Original languageEnglish
Title of host publicationIEEE RO-MAN 2017
Subtitle of host publication26th IEEE International Symposium on Robot and Human Interactive Communication
PublisherIEEE
Pages189-194
Number of pages6
ISBN (Electronic)978-1-5386-3518-6, 978-1-5386-3517-9
ISBN (Print)978-1-5386-3519-3
DOIs
Publication statusE-pub ahead of print - 14 Dec 2017
Externally publishedYes

Publication series

Name
PublisherIEEE
ISSN (Electronic)1944-9437

Keywords

  • Ontologies
  • Robot kinematics
  • Robot sensing systems
  • Computer architecture
  • Standards

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